Lu Meng

2.3k total citations · 1 hit paper
75 papers, 1.6k citations indexed

About

Lu Meng is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, Lu Meng has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nuclear and High Energy Physics, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Mechanics of Materials. Recurrent topics in Lu Meng's work include Quantum Chromodynamics and Particle Interactions (61 papers), Particle physics theoretical and experimental studies (53 papers) and High-Energy Particle Collisions Research (36 papers). Lu Meng is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (61 papers), Particle physics theoretical and experimental studies (53 papers) and High-Energy Particle Collisions Research (36 papers). Lu Meng collaborates with scholars based in China, Germany and United States. Lu Meng's co-authors include Shi-Lin Zhu, Bo Wang, Guang-Juan Wang, Eric Braaten, Zhan-Wei Liu, Lin Ye, Shou-Wen Yu, Zuorong Chen, Kan Chen and Ning Li and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Physics Reports.

In The Last Decade

Lu Meng

72 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chiral perturbation theory for heavy hadrons and chiral effective field theory for heavy hadronic molecules

2023 147 citations Lu Meng, Bo Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lu Meng China	24	1.4k	206	94	91	34	75	1.6k
Yoshinori Matsuo Japan	15	478 0.3×	116 0.6×	43 0.5×	30 0.3×	6 0.2×	61	659
Takayuki Matsuki Japan	23	1.4k 1.0×	146 0.7×	18 0.2×	58 0.6×	27 0.8×	101	1.5k
W. Gl�ckle Germany	11	330 0.2×	190 0.9×	28 0.3×	21 0.2×	41 1.2×	16	599
Xingbo Zhao United States	22	1.4k 1.0×	224 1.1×	28 0.3×	24 0.3×	6 0.2×	76	1.5k
Ajay Kumar India	22	1.2k 0.8×	238 1.2×	5 0.1×	32 0.4×	14 0.4×	146	1.5k
Marisa Roberto Brazil	13	201 0.1×	51 0.2×	49 0.5×	57 0.6×	8 0.2×	54	451
M. Igarashi Japan	13	280 0.2×	198 1.0×	10 0.1×	26 0.3×	42 1.2×	34	445
A. P. Martynenko Russia	22	1.1k 0.8×	642 3.1×	304 3.2×	10 0.1×	12 0.4×	115	1.5k
F. E. Close United Kingdom	28	2.9k 2.0×	200 1.0×	5 0.1×	69 0.8×	30 0.9×	85	3.0k
Marvin L. Marshak United States	18	809 0.6×	70 0.3×	8 0.1×	24 0.3×	19 0.6×	102	887

Countries citing papers authored by Lu Meng

Since Specialization

Citations

This map shows the geographic impact of Lu Meng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Meng more than expected).

Fields of papers citing papers by Lu Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lu Meng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lu Meng. The network helps show where Lu Meng may publish in the future.

Co-authorship network of co-authors of Lu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Meng. A scholar is included among the top collaborators of Lu Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Meng. Lu Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Epelbaum, E., et al.. (2025). Chiral Symmetry and Peripheral Neutron- α Scattering. Physical Review Letters. 135(17). 172502–172502.

2.

Wen, L., et al.. (2025). Electromagnetic polarizabilities of the spin-12 singly heavy baryons in heavy baryon chiral perturbation theory. Physical review. D. 111(5). 1 indexed citations

3.

Meng, Lu, et al.. (2025). Uncovering the mystery of X(3872) with the coupled-channel dynamics. Physical review. D. 111(11).

4.

Meng, Lu, et al.. (2025). Tetraquark states in the quark model. ArXiv.org. 4. 100184–100184.

5.

Wang, Bo, Kan Chen, Lu Meng, & Shi-Lin Zhu. (2024). Spectrum of the molecular tetraquarks: Unraveling the Tcs0(2900) and Tcs¯0a(2900). Physical review. D. 109(3). 12 indexed citations

6.

Baru, V., et al.. (2024). Internal structure of the T(3875)+ from its light-quark mass dependence. Physics Letters B. 860. 139188–139188. 10 indexed citations

7.

Meng, Lu, et al.. (2024). Virtual states in the coupled-channel problems with an improved complex scaling method. Physical review. D. 109(3). 9 indexed citations

8.

Meng, Lu, et al.. (2024). Doubly heavy tetraquark bound and resonant states. Physical review. D. 110(9). 10 indexed citations

9.

Meng, Lu, et al.. (2024). Unified description of the Qsq¯q¯ molecular bound states, molecular resonances, and compact tetraquark states in the quark potential model. Physical review. D. 109(1). 10 indexed citations

10.

Meng, Lu, et al.. (2024). Doubly heavy tetraquark states in the constituent quark model using diffusion Monte Carlo method. Physical review. D. 109(7). 17 indexed citations

11.

Meng, Lu, V. Baru, E. Epelbaum, A. A. Filin, & A. M. Gasparyan. (2024). Solving the left-hand cut problem in lattice QCD: Tcc(3875)+ from finite volume energy levels. Physical review. D. 109(7). 28 indexed citations

12.

Meng, Lu, et al.. (2024). Fully strange tetraquark resonant states as the cousins of X(6900). Physical review. D. 110(7). 10 indexed citations

13.

Meng, Lu, Guang-Juan Wang, Bo Wang, & Shi-Lin Zhu. (2023). Long-range structure of T c c + state. Nuclear and Particle Physics Proceedings. 324-329. 68–71. 2 indexed citations

14.

Meng, Lu, et al.. (2023). Tetraquark bound states in constituent quark models: Benchmark test calculations. Physical review. D. 108(11). 27 indexed citations

15.

Meng, Lu, et al.. (2023). Ground state baryons in the flux-tube three-body confinement model using diffusion Monte Carlo. Physical review. D. 107(5). 14 indexed citations

16.

Meng, Lu & E. Epelbaum. (2023). Finite volume NN systems using plane wave expansion and eigenvector continuation. Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). 201–201. 1 indexed citations

17.

Zhang, Xiang, Zhuo Chen, Rahul Bhadani, et al.. (2022). NISC: Neural Network-Imputation for Single-Cell RNA Sequencing and Cell Type Clustering. Frontiers in Genetics. 13. 847112–847112. 5 indexed citations

18.

Meng, Lu, et al.. (2020). Microbial community dissimilarity for source tracking with application in forensic studies. PLoS ONE. 15(7). e0236082–e0236082. 12 indexed citations

19.

Meng, Lu. (2004). Application of CBR in Enterprise Credit Rating System. Microcomputer Development. 1 indexed citations

20.

Liu, Zhenguo & Lu Meng. (2000). Numerical Prediction of Moduli of 3-D and 4-step Braided Composites. Beijing Hangkong Hangtian Daxue xuebao. 26(2). 182. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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